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Results: 154
Number of items: 154
  • Open Access
    Löwe, S. (2024). Learning structured representations of objects and relations. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Bakker, T. B. (2024). Learning adaptive sensing and active learning. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Wöhlke, J. G. (2024). Reinforcement learning and planning for autonomous agent navigation: With a focus on sparse reward settings. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    García Satorras, V. (2024). Inductive biases for graph neural networks. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Veeling, B. S. (2024). Deep learning for medical data. [Thesis, fully internal, Universiteitsbibliotheek].
  • Open Access
    Miller, B. K. (2024). Machine learning for scientific simulation: Inference and generative models. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Esmaeili, B. (2024). Learning useful representations with variational autoencoders. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Weiler, M. (2024). Equivariant and coordinate independent convolutional networks: A gauge field theory of neural networks. [Thesis, fully internal, Universiteit van Amsterdam].
  • van den Dool, W., Blankevoort, T., Welling, M., & Asano, Y. M. (2023). Efficient Neural PDE-Solvers using Quantization Aware Training. In 2023 IEEE/CVF International Conference on Computer Vision Workshops: proceedings: ICCVW 2023 : Paris, France, 2-6 October 2023 (pp. 1415-1424). IEEE Computer Society. https://doi.org/10.1109/ICCVW60793.2023.00154
  • Open Access
    Putzky, P. (2023). Amortized inference in inverse problems. [Thesis, fully internal, Universiteit van Amsterdam].
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